Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
暂无分享,去创建一个
Jindi Wang | Jinling Song | Ping Chen | Shunlin Liang | Zhiqiang Xiao | Liqiang Zhang | Xuejun Yin | S. Liang | Zhiqiang Xiao | Jindi Wang | Jinling Song | Xuejun Yin | Ping Chen | Liqiang Zhang
[1] Jindi Wang,et al. Knowledge Database and Inversion , 2008 .
[2] Yongchao Zhao,et al. A cloud detection method based on a time series of MODIS surface reflectance images , 2013 .
[3] S. Running,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .
[4] An-Sing Chen,et al. Forecasting Exchange Rates Using General Regression Neural Networks , 1999, Comput. Oper. Res..
[5] Frédéric Baret,et al. Developments in the 'validation' of satellite sensor products for the study of the land surface , 2000 .
[6] Chad J. Shuey,et al. Validating MODIS land surface reflectance and albedo products: methods and preliminary results , 2002 .
[7] F. Baret,et al. Performances of neural networks for deriving LAI estimates from existing CYCLOPES and MODIS products , 2008 .
[8] Luiz Eduardo Oliveira E. Cruz de Aragão,et al. Spatial validation of the collection 4 MODIS LAI product in eastern Amazonia , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[9] J. Chen,et al. Global mapping of foliage clumping index using multi-angular satellite data , 2005 .
[10] Alan H. Strahler,et al. Global land cover mapping from MODIS: algorithms and early results , 2002 .
[11] J. Privette,et al. Inversion methods for physically‐based models , 2000 .
[12] J. Chen,et al. Defining leaf area index for non‐flat leaves , 1992 .
[13] S. Sorooshian,et al. Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .
[14] Jindi Wang,et al. Retrieval of canopy biophysical variables from remote sensing data using contextual information , 2008 .
[15] S. Running,et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .
[16] S. Leblanc,et al. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements , 2002 .
[17] A. Lang. Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies , 1986 .
[18] Ranga B. Myneni,et al. Analysis and optimization of the MODIS leaf area index algorithm retrievals over broadleaf forests , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[19] S. Liang. Quantitative Remote Sensing of Land Surfaces , 2003 .
[20] James V. Hansen,et al. Learning experiments with genetic optimization of a generalized regression neural network , 1996, Decis. Support Syst..
[21] O. Hagolle,et al. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm , 2007 .
[22] Jing M. Chen,et al. Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[23] J. Chen. Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands , 1996 .
[24] Jindi Wang,et al. Variational retrieval of leaf area index from MODIS time series data: examples from the Heihe river basin, north-west China , 2012 .
[25] Jindi Wang,et al. A Temporally Integrated Inversion Method for Estimating Leaf Area Index From MODIS Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[26] C. Justice,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data , 1996 .
[27] Ranga B. Myneni,et al. Estimation of global leaf area index and absorbed par using radiative transfer models , 1997, IEEE Trans. Geosci. Remote. Sens..
[28] Qiang Liu,et al. Inversion of a Radiative Transfer Model for Estimating Forest LAI From Multisource and Multiangular Optical Remote Sensing Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[29] F. Baret,et al. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation , 2006 .
[30] Liming Zhou,et al. Assimilation of satellite reflectance data into a dynamical leaf model to infer seasonally varying leaf areas for climate and carbon models , 2008 .
[31] S. Liang,et al. Real-time retrieval of Leaf Area Index from MODIS time series data , 2011 .
[32] R. Lacaze,et al. Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation , 2010 .
[33] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[34] Frédéric Baret,et al. Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[35] Hongliang Fang,et al. Retrieving leaf area index with a neural network method: simulation and validation , 2003, IEEE Trans. Geosci. Remote. Sens..
[36] Yun Shi,et al. Evaluation of MODIS Land Cover and LAI Products in Cropland of North China Plain Using In Situ Measurements and Landsat TM Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[37] Y. Knyazikhin,et al. Validation and intercomparison of global Leaf Area Index products derived from remote sensing data , 2008 .
[38] Philip Lewis,et al. Canopy spectral invariants for remote sensing and model applications , 2007 .
[39] Shunlin Liang,et al. Integrating MODIS and CYCLOPES Leaf Area Index Products Using Empirical Orthogonal Functions , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[40] Jindi Wang,et al. Development of the Adjoint Model of a Canopy Radiative Transfer Model for Sensitivity Study and Inversion of Leaf Area Index , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[41] Peng Gong,et al. Foliage Clumping Index Over China's Landmass Retrieved From the MODIS BRDF Parameters Product , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[42] J. Townshend,et al. Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America , 2008 .